5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 5 cited
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner +2
Dirichlet-based uncertainty (DBU) models are a recent and promising class of uncertainty-aware models. DBU models predict the parameters of a Dirichlet distribution to provide fast…
cs.LG2020
Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training
Anna-Kathrin Kopetzki, Stephan Günnemann
Neural networks achieve outstanding accuracy in classification and regression tasks. However, understanding their behavior still remains an open challenge that requires questions t…